Update to 2.6.5 Changes: https://github.com/pydata/numexpr/releasesbb396b48a9
Port details
math/py-numexpr 2.14.2
Fast numerical array expression evaluator for Python and NumPy
Port info
- Maintainer
- sunpoet@FreeBSD.org
- Packages
- latest: 2.14.2
- Upstream
- up to date
- Last update
- to 2.14.2 · 6e94f95cb3
- Quarterly
- 2026Q4: 2.14.2
- WWW
- https://github.com/pydata/numexpr
- Links
- cgit · VuXML · Report wrong data
Install
- Package
# pkg install py312-numexprinstalls 2.14.2 fromlatest; fromquarterly(2026Q4) 2.14.2- Port
# cd /usr/ports/math/py-numexpr && make install clean- Size
- 197 KiB download · 960 KiB installed
- Depends on
- lang/python312 3.12.15, math/py-numpy 2.4.6_1,1
- License
- MIT
Packages by version and architecture
latest
| FreeBSD version | amd64 | aarch64 | i386 |
|---|---|---|---|
| FreeBSD 16 | 2.14.2 | 2.14.2 | – |
| FreeBSD 15 | 2.14.2 | 2.14.2 | – |
| FreeBSD 14 | 2.14.2 | 2.14.2 | 2.14.2 |
quarterly (2026Q4)
| FreeBSD version | amd64 | aarch64 | i386 |
|---|---|---|---|
| FreeBSD 15 | 2.14.2 | 2.14.2 | – |
| FreeBSD 14 | 2.14.2 | 2.14.2 | 2.14.2 |
version as in the ports tree (latest) or the most common one (quarterly) · different version · ✗ not built · – no packages for this platform. Package sets that have not been rebuilt for 60 days are left out.
Unaddressed and VuXML only (0)
No unaddressed CVE and nothing reported by
pkg audit for the packaged version 2.14.2.Fixed (0)
No VuXML entries for this package.
Problem reports (0) · open in Bugzilla, most recently changed first
None.
Commits (86)
Switch all pypi.python.org WWWs to a new PyPi home pypi.org where they now redirect to anyway. All new urls checked to return 200, I've fixed a couple of them in the process. Approved by: portmgr blanket, matc637402081
Bump PORTREVISIONs of all users of math/mpc that we just updated to version 1.1.0 (via revision 464079).c2a92a1aea
Convert Python ports to FLAVORS.
Ports using USE_PYTHON=distutils are now flavored. They will
automatically get flavors (py27, py34, py35, py36) depending on what
versions they support.
There is also a USE_PYTHON=flavors for ports that do not use distutils
but need FLAVORS to be set. A USE_PYTHON=noflavors can be set if
using distutils but flavors are not wanted.
A new USE_PYTHON=optsuffix that will add PYTHON_PKGNAMESUFFIX has been
added to cope with Python ports that did not have the Python
PKGNAMEPREFIX but are flavored.
USES=python now also exports a PY_FLAVOR variable that contains the
current python flavor. It can be used in dependency lines when the
port itself is not python flavored. For example, deskutils/calibre.
By default, all the flavors are generated. To only generate flavors
for the versions in PYTHON2_DEFAULT and PYTHON3_DEFAULT, define
BUILD_DEFAULT_PYTHON_FLAVORS in your make.conf.
In all the ports with Python dependencies, the *_DEPENDS entries MUST
end with the flavor so that the framework knows which to build/use.
This is done by appending '@${PY_FLAVOR}' after the origin (or
@${FLAVOR} if in a Python module with Python flavors, as the content
will be the same). For example:
RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}six>0:devel/py-six@${PY_FLAVOR}
PR: 223071
Reviewed by: portmgr, python
Sponsored by: Absolight
Differential Revision: https://reviews.freebsd.org/D12464551be3c723Update to 2.6.4 Changes: https://github.com/pydata/numexpr/blob/master/RELEASE_NOTES.rstc238b448b9
Update to 2.6.3 - Use USES=dos2unix Changes: https://github.com/pydata/numexpr/blob/master/RELEASE_NOTES.rstd20babb670
Update to 2.6.2 Changes: https://github.com/pydata/numexpr/blob/master/RELEASE_NOTES.rstacdf03da28
- Update to 2.6.1 Changes: https://github.com/pydata/numexpr/blob/master/RELEASE_NOTES.rst268af6ca8f
math/py-numpy: track PORTEPOCH in consumers4be855d6a6
- Update to 2.6.0 Changes: https://github.com/pydata/numexpr/blob/master/RELEASE_NOTES.rstab08631132
- Update to 2.5.2 Changes: https://github.com/pydata/numexpr/blob/master/RELEASE_NOTES.rst51e912c76a
- Update to 2.5.1 Changes: https://github.com/pydata/numexpr/blob/master/RELEASE_NOTES.rstd141d68c90
- Update to 2.5 Changes: https://github.com/pydata/numexpr/blob/master/RELEASE_NOTES.rst68ab41b549
- Update to 2.4.4 - Update MASTER_SITES: move back to CHEESESHOP - Add LICENSE_FILE - Reformat pkg-descr and remove trailing space - Add PyPI as primary WWW Changes: https://github.com/pydata/numexpr/blob/master/RELEASE_NOTES.rstb73eff4feb
- Allow concurrent installation (USE_PYTHON=concurrent) - Strip shared library - Bump PORTREVISION for package change398593c94b
- Cleanup GH_* knobs: - Use DISTVERSIONPREFIX - Remove GH_PROJECT91a19e14e5
- Cleanup WRKSRC: leading v in GH_TAGNAME is removed from DISTNAME in r382120b4872adff4
- Update to 2.4 - Update WWW Changes: https://github.com/pydata/numexpr/blob/master/RELEASE_NOTES.rste083eeb9d1
Update the default version of GCC in the Ports Collection from GCC 4.7.4 to GCC 4.8.3. Part II, Bump PORTREVISIONs. PR: 192025 Tested by: antoine (-exp runs) Approved by: portmgr (implicit)15945f8122
- Convert PYTHON_FEATURES to USE_PYTHON (which was landed several hours ago) Notified by: koobs, wgec373bbc2f
- Use USES=pythonf81d94c78d
Update the default version of GCC used in the Ports Collection from GCC 4.6.4 to GCC 4.7.3. This entails updating the lang/gcc port as well as changing the default in Mk/bsd.default-versions.mk. Part II, Bump PORTREVISIONs. PR: 182136 Supported by: Christoph Moench-Tegeder <cmt@burggraben.net> (fixing many ports) Tested by: bdrewery (two -exp runs)1cd277bdce
- Add LICENSE - Use PYDISTUTILS_AUTOPLIST - Remove post-patch:5c4a71b3ea
Update to libmpc version 1.0.1 which brings the following fixes:
- Switched to automake 1.11.6, see CVE-2012-3386.
- #14669: Fixed extraction of CC from gmp.h.
- Fixed case of intermediate zero real or imaginary part in mpc_fma,
found by hydra with GMP_CHECK_RANDOMIZE=1346362345.
This is on top of the following changes from version 1.0
- Licence change towards LGPLv3+ for the code and GFDLv1.3+ (with no
invariant sections) for the documentation.
- 100% of all lines are covered by tests
- Renamed functions
. mpc_mul_2exp to mpc_mul_2ui
. mpc_div_2exp to mpc_div_2ui
- 0^0, which returned (NaN,NaN) previously, now returns (1,+0).
- Removed compatibility with K&R compilers, which was untestable due
to lack of such compilers.
- New functions
. mpc_log10
. mpc_mul_2si, mpc_div_2si
- Speed-ups
. mpc_fma
- Bug fixes
. mpc_div and mpc_norm now return a value indicating the effective
rounding direction, as the other functions.
. mpc_mul, mpc_sqr and mpc_norm now return correct results even if
there are over- or underflows during the computation.
. mpc_asin, mpc_proj, mpc_sqr: Wrong result when input variable has
infinite part and equals output variable is corrected.
. mpc_fr_sub: Wrong return value for imaginary part is corrected.
Convert to the new LIB_DEPENDS standard and remove hard-coded
.so versions from a couple of dependent ports.
Bump PORTREVISIONS of all dependent ports.
PR: 183141
Approved by: portmgr (bdrewery)3be3e90f93- Update to 2.2.2 - Support STAGEDIR Changes: http://code.google.com/p/numexpr/wiki/ReleaseNotes8207eb9802
Add NO_STAGE all over the place in preparation for the staging support (cat: math)ce5e457020
- Update to 2.2.1 Changes: http://code.google.com/p/numexpr/wiki/ReleaseNotesaf37f9065c
- Update to 2.2 - Do not use setuptools Changes: http://code.google.com/p/numexpr/wiki/ReleaseNotes63db1f2c92
- Update to 2.1 Changes: http://code.google.com/p/numexpr/wiki/ReleaseNotesefafe2da5f
- Update to 2.0.1 - Cleanup Makefile header - Sort PLIST Changes: http://code.google.com/p/numexpr/wiki/ReleaseNotesb29a55732f
- Update to 1.4.2 Changes: http://code.google.com/p/numexpr/wiki/ReleaseNotes9094e9fa53
- Pet portlint - Take maintainershipe6762dbc51
- Reassign to the heapbfc22dc307
- Get Rid MD5 supportbb86cbe5d2
- Update to 1.4.1 Approved by: maintainer(implicit)bb4da8f5a1
numexpr - Fast numerical array expression evaluator for Python and NumPy. The numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it to faster Python code on the fly. It's the next best thing to writing the expression in C and compiling it with a specialized just-in-time (JIT) compiler, i.e. it does not require a compiler at runtime. Also, numexpr has support for the Intel VML (Vector Math Library) -- integrated in Intel MKL (Math Kernel Library) --, allowing nice speed-ups when computing transcendental functions (like trigonometrical, exponentials...) on top of Intel-compatible platforms. This support also allows to use multiple cores in your computations. WWW: http://code.google.com/p/numexpr/ PR: ports/148372 Submitted by: Ju Pengfei <jupengfei@gmail.com> Feature safe: yes714db4465a